The U.S. Exports Commodity Classification CD-ROM is a reference tool that will help you quickly find the 10-digit HS-Based Schedule B numbers for commodities. It contains the complete database of commodity codes and descriptions as well as powerful software for searching the database. It is a Windows 3.1 application.Note to Users: This CD is part of a collection located in the Data Archive of the Odum Institute for Research in Social Science, at the University of North Carolina at Chap el Hill. The collection is located in Room 10, Manning Hall. Users may check out the CDs, subscribing to the honor system. Items can be checked out for a period of two weeks. Loan forms are located adjacent to the collection.

The dataset comprises three schedules categorising each of the HS 2017 6-digit product codes as A: nonsensitive, B: sensitive or C: excluded. The "offer" schedule is derived from the officially published offers where "none" indicates missing categorisations. The "repaired offer" amends the "offer" by categorising the missing codes such that the tariff revenue raised is maximised. The "maximum" schedule is constructed from scratch by categorising all codes such that the tariff revenue raised is maximised.

For details, please refer to the associated publications.

Abstract

Computers offer exciting approaches to teaching that were not even dreamed of twenty years ago, but the extent to which the educational potential of computer technology will be realized, remains to be seen. Use of computers can revolutionize teaching and learning and could bring advances that would improve education dramatically. Ordinary students would make massive gains and bright students could meet greater challenges. Wherever illiteracy is a problem, it would be eliminated and handicapped students would have vast new vistas opened to them.

Teacher attitudes toward computer technology may be a significant factor in the use of computers in education. Computer literate individuals will reap greater benefits than their counterparts who lack that knowledge. To promote computer literacy of both teachers and students, the government is investing considerably. To evaluate the impact of these investments and thereby help ensure that the intended results are achieved, Information and Communication Technology (ICT) literacy of students and teachers should be measured periodically. The Department of Census and Statistics and the Ministry of Education conducted a census on Computer Literacy of Academic Staff of Government Schools, Approved Private Schools and Pirivenas to find out the computer literacy levels of teachers and ICT related facilities and hardware available in schools. This census was conducted on 2nd November 2006.

Geographic coverage

National Coverage - Government Schools

Analysis unit

School Teacher

Universe

All Government Schools All Approved Private Schools All Pirivenas

Kind of data

Sample survey data [ssd]

Mode of data collection

Face-to-face [f2f]

Research instrument

Two census Schedules were used to collect data in this study. The first - Census Schedule 1 - was a structured questionnaire to get the information on the teacher's own perceptions on their competencies in ICT. The ICT literacy of teachers was not measured by actually testing it by administering a test by the teachers' own perceptions of their competencies. A brief description of the information collected by using Census Schedule 1 is given below.

Part A : School Information
Part B : Demographic Characteristics
Part C : Knowledge on Computers
Part D : Use of Application Software
Part E : Use of Computers
Part F : Use of Internet
Part G : Use E-Mail
Part H : Knowledge on Hardware
Part  I : Use of Computers for Teaching

The second schedule was used to get the information on the ICT related facilities available in schools and summary of three questions of the first schedule. These questions are number of teachers in the school who are aware about the computers and those who are computer literate and those who can read and understand documents written in English language.

Cleaning operations

Data editing and coding done by the Census and Statistic Department staff.

Verification of the data is done by the Education Ministry Staff.

Abstract

The Colombo Consumers' Price Index (CCPI) which was introduced in 1952 by the Department of Census and Statistics and which is now published on the last working day of every month is the official index by which changes in price levels of consumer goods and services in Sri Lanka are measured. Since then the index has been used to date for very vital purposes as described below. It is used for multi-purpose functions such as :

                              for conversion of total current values of national income up to fixed values, 
                              policy making on monetary income and wages, 
                              payment of salaries and wages, 
                              providing social security facilities and analysis of economic and social activities. 

Thus the government mechanism and the non-government organizations use this index as the vital official measurement unit in the fields of financial, revenue, salaries, wages and socio-economic policy making.

Geographic coverage

All Urban Divisions in Colombo District

Analysis unit

Commodities (in Retail outlets in Colombo City)

Universe

Retail commodity prices of the goods in Colombo MC and suburban areas

Kind of data

Observation data/ratings [obs]

Sampling procedure

The Weekly Test Purchases operation is not a sample survey. But the following points should be noted:-

From each market, about five outlets have been identified for this operation. Out of the five outlets three are visited by the enumeretors regularly. The selected three outlets in each market are usually visited in every price collection day of the week. The fourth & the fifth outlets will be kept as optional in case the regular outlets are not operational due to some reason.

Mode of data collection

Face-to-face [f2f]

Research instrument

There are two types of questionnaires,

  01  A , B , C , D , E - Food Items

  02  Mis01,Mis02,Mis03,Mis04,Mis05,Mis06,Mis07,Mis08 - Non Food Items

General Instructions in filling Forms:

***Group I Form

Price quotations should be collected in few representative and fixed open market retail outlets or stalls in the main marketing area of the Town on morning (9 to 12) of Tuesdays 1st and 3rd week

This price schedule should be perfected and sent by post to the Director Prices and Wages Division in the same week.

***Group II Form

Price quotations required should be obtained once a month from the same outlets, which should be chosen from the selected establishments listed above.

If a particular item is not available in the selected retail outlet, Price quotations may be obtained from the other establishments, whose address should be given. If the item is not available at all in the town, the price of substitute item which resembles most closely the specified item should be priced and brand name, weight should be entered in the form. Brand name and weight of "other" item where it is priced should also be given.

***Group III Form

The item should be selected under specification which has been mentioned here. Two price quotations should be obtained quarterly from the same establishments as far as possible and prices should be collected from the same establishment in future too.

If a particular item is not available in the selected retail outlets, price quotations may be obtained from the reserve or other establishments whose address should be given. If the item is not available at all in the town, the price of a substitute item which resembles most closely the specified item should be entered in the form. Brand name and Weight of "Other" item where it is priced should also be given.

Where transactions take place in other than metric units, the weight of volume of the item priced should be carefully recorded in grams or milli-liters in the space provided.

When you complete item 4 in 1st page of schedule cross out months except the price collection month.

***Producers' Prices Form

You are instructed to obtain the Producers' prices once a month from selected two main producing centers, and few other production centers are selected for all other agriculture production. The district officer can select the producing centers with the help of the field officer in the respective DS Division. The farm-gate price of every item should be completed in column 4,5,and 6 by the field officer and monthly average prices given in the pricing schedules should be recorded systematically in a price list or in the register maintained in your office.

The average price for three columns (4,5 and 6) should be computed and recorded in the 7th column. If there is noticeable change in average price of column 7 and 8 or if current available price in column 7 is not available. Please give your reasons in column 9. Livestock prices should be collected quarterly and for this purpose the second month of each quarter is more appropriate. (Feb, May, Aug, Nov)

You are advised to collect the prices during the second week of each month and the completed forms should be sent to the Director, Prices and Wages Division by post on or before the given date.

PRODUCERS' PRICE - This is at the farm-gate price or at village market price (pola) charged to customer/buyer. This value figures should include all duties and taxes which fall on products when they leave the farm-gate, but should exclude any subsidies received. This valuation should exclude any transport charges that may be invoiced to the purchaser or user.

Cleaning operations

Usually the prices collected should fall within a range accepted by the Prices and Wages Division staff. If by chance, an abnormally high or a low price have been recorded, that price item will be discarded and not taken for computation purposes.

In a rare situation where the prices of a commodity have not been recorded due to a problem in the market, then the previous day's recording will be assumed for the respective price collection round.

Abstract

The objectives of the 2001 Population Census were:

a. to develop a set of benchmark data for different purposes, b. to provide data for small administrative areas of the country on population, housing and household facilities, c. to provide reliable frames for different types of sample surveys, d. to provide sex disaggregated data of the population and other variables related to households, demographic, social and economic conditions of the country, and e. to provide detailed information on women, children, the aged and the disabled.

Content of the Census Questionnaire:

Short Form : Schedule 1

Household Information

1. Type of housing unit occupied by the household
2. Tenure of housing unit
3. Whether any land operated for agriculture
4. Area of agricultural land operated
5. Whether any livestock/ poultry raised
6. Number of livestock/ poultry on the holding
7. Whether any female member owned any house/land
   • Area of land owned
8. Whether any female member owned any livestock
   • Number of livestock (big and small head)

Individual Information

1. Serial number of household member
2. Full name of the household member
3. Male/Female
4. Age
5. Caste/Ethnicity
6. Relationship of the household head
7. Religion
8. Language spoken
   • Mother tongue
   • Second language

Long Form : Schedule 2

Household Information

1. Main source of drinking water
2. Main fuel used for cooking
3. Main source of light
4. Toilet facility
5. Household conveniences
6. Whether any death in the household
7. Information on the deceased person(s)
   • Sex, age, date, and cause

Individual Information

1. Serial number of household member
2. Full name and sex of the household member
3. Age
4. Place of birth
5. Duration of stay at the present place
6. Reason for staying in this district
7. Residence five years ago
8. Whether able to read and write
9. Level of education
10. Whether currently attending any school
11. Marital status
12. Age at first marriage
13. No. of children ever born
14. Any live births during last 12 months
15. Work usually done during the last 12 months
16. No. of months worked during the last 12 months
17. Occupation (type of usual work)
18. Industry (place of usual work)
19. Employment Status
20. Reasons for usually not working
21. Living arrangements of children below 16 years

Geographic coverage

National coverage

Analysis unit

individuals and households

Universe

The survey covered all household members (usual residents) in the household.

Kind of data

Census/enumeration data [cen]

Sampling procedure

The 2001 census collected data based on short form for the complete enumeration of the benchmark information and the long form for the sample enumeration of other socio-economic and demographic information. The long form was administered for population dwellings in about 20 percent of the total housing units. Based on these, estimates were generated at the district level with reliable degree of precision.

The sampling scheme of the 2001 Population Census for the long form is summarized below.

1. The sampling covered the private households only. For the institutional population, Schedule-1 only was administered.

2. For the sampling, 75 administrative districts formed the main strata and VDC's and municipalities within the district formed the domains.

3. There were around 36,000 wards in the country at the time of the census. For the purpose of the census enumeration some of the large wards were further divided into sub-wards. These wards and sub-wards formed the EA's for sampling. The total number of EAs thus formed were around 40,000.

4. Sampling was carried out in each EA; housing unit being the sampling unit.

5. The list of housing units and households served as the sampling frame for the EA. The housing units were selected by systematic sampling method. The sampling interval taken was 8.

6. The list of selected housing units was made available to the enumerator for the enumeration. All households and persons found in the selected units were enumerated.

7. The ratio method was used in making estimates for the sample.

8. Tabulation groups were created separately for tabulation of persons and those for households. The main control variables for the majority of tabulations for persons were two variables: age sex. Tabulation groups for household tabulations were formed in a different manner: taking households as a tabulation group in the domain.

9. To implement the ratio estimation, first weights were calculated. The weights for sample data were computed by dividing the 100 percent counts for the same tabulation groups in the domain by sample counts for the same tabulation groups in the domain. To avoid inconsistency due to rounding, the figures were converted to whole numbers.

This detailed sampling procedure is provided in the document 'Sample Design for the 2001 Census of Housing and Population, Nepal'.

Mode of data collection

Face-to-face [f2f]

Research instrument

Two types of schedules were prepared. Form 1 for complete enumeration and Form 2 for sample enumeration. Both schedules contained questions on household as well as individuals.

FORM 1: (COMPLETE Enumeration) A. Household Information (Question relating to Household), House type & ownership, Agriculture land holding, Livestock/poultry raised for agriculture purpose, Female ownership on house, land and Livestock/Cattle, Small scale economic activities other than agriculture, Absentees from Household (HH), reasons & country of destination. B. Individual Information (Question relating to Individuals), Name, sex, age, relationship to the Household head, Caste/ethnicity, religion, Language spoken, citizenship, disability.

FORM 2: (SAMPLE Enumeration) A. Household Information (Question relating to Household), Source of drinking water, Type of cooking/ lighting fuel, Type of Toilet & Household facilities (Radio, TV etc), Deaths in last 12 months in the Household. B. Individual Information (Question relating to Individuals), Place of birth, Migration, Literacy, Educational attainment, Marital status, Age at first Marriage, Children born, Economic/Non-economic activities, occupation/Industry, employment status, Reasons for not being active, Living arrangement of children below 16 years of age.

Cleaning operations

Data editing took place at a number of stages throughout the processing, including:

a) Office editing and coding b) During data entry c) Structure checking and completeness d) Secondary editing e) Structural checking of SPSS data files

Response rate

At the time of census there were 3,914 VDC's and 58 municipalities. VDC's contained a total of 35,226 wards while urban areas contained 806 wards. Thus total numbers of wards in the country were 36,032. Out of these wards, 957 wards (including 2 urban wards) were affected due to the political disturbances in the country. Works in 83 VDC's of 12 districts were completely affected. 747 wards were completely affected. 2 wards of 2 municipalities and some wards of 37 VDC's were partially affected. In Salyan and Kalikot even listing was disturbed in some areas. In these districts population was estimated on the basis of listing sheet and following other estimation procedures.

For form 2, there is no available data for response rate.

Sampling error estimates

Estimates from a sample survey are affected by two types of errors: 1) non-sampling errors and 2) sampling errors.

The sampling error is not available.

Non-sampling errors are the results of mistakes made in the implementation of data collection and data processing. Numerous efforts were made during implementation of the population census 2001 to minimize this type of error, however, non-sampling errors are impossible to avoid and difficult to evaluate statistically.

This method is discussed in detail in the document 'Sample Design for the 2001 Census of Housing and Population, Nepal'.

Data appraisal

The post enumeration survey was conducted to assess the completeness in the census enumeration and also the quality of the answers given to the questions asked in the population census. An independent verification of the census enumeration through a PES on a sample basis can provide an estimate of the extent of under enumeration or over enumeration that occurred at the census.

The PES 2001 was planned as an independent intensive re-interviews of all households in the sampled enumeration areas. The sample was restricted to a manageable size as mentioned elsewhere. A single stage stratified sampling design was adopted for the household enumeration sampling 7900 households and a two stage stratified design was used for the individual questionnaire. The Dual System Estimation metod was adopted for the survey design.

The detailed information can be found in PES Report under Census Report.